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4 Days ago

AI Engineer Intern

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Bangalore, Karnataka, India
Information Technology
Full-Time
VE3

Overview

AI Engineer Intern

Location

: Pune (Hybrid)
Department: Technology
Experience: Fresher or 0-6 months experience
Internship Duration: 6 months (opportunity for permanent role after internship)

About the Role:

We are looking for a passionate and motivated AI Engineer Intern to join our team and contribute to real-world AI and Machine Learning projects. This internship is ideal for candidates who are enthusiastic about data, algorithms, and developing intelligent solutions that can make a meaningful impact.


Requirements

Key Responsibilities:

• Assist in building, training, and evaluating machine learning and deep learning models.
• Clean, preprocess, and analyze datasets to extract meaningful insights.
• Implement AI/ML solutions under the guidance of senior engineers.
• Work with popular frameworks like TensorFlow, PyTorch, Scikit-learn, etc.
• Collaborate with cross-functional teams including Data Science, Engineering, and Product.
• Contribute to the deployment and testing of models in production or simulated environments.
• Stay updated with the latest research and trends in AI/ML.
• Document code, experiments, and results in a clear and organized manner.

Requirements:

• Completed a Bachelor’s/Master’s degree in Computer Science, Artificial Intelligence, Data Science, or related field.
• Strong understanding of machine learning concepts and algorithms.
• Proficiency in Python and familiarity with ML libraries such as:
• TensorFlow / Keras
• PyTorch
• Scikit-learn
• Pandas / NumPy
• Basic knowledge of data structures, algorithms, and software engineering principles.
• Familiarity with NLP, computer vision, or time-series data is a plus.
• Good communication skills and ability to work in a collaborative environment.
• Eagerness to learn and grow in the field of AI.

Preferred Skills (Bonus):

• Experience with cloud platforms (AWS, GCP, or Azure).
• Familiarity with Git and version control practices.
• Understanding of REST APIs and model deployment tools.
• Participation in AI competitions (e.g., Kaggle, Zindi).


Benefits

What You'll Gain:

• Hands-on experience with real-world AI problems.
• Mentorship from experienced AI professionals.
• Opportunity to contribute to impactful projects and products.
• Exposure to modern tools, workflows, and team collaboration.
• Potential for full-time conversion (based on performance and business need).




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